Looking back on the second half of 2022, the world has been severely impacted by inflation, economic uncertainty and large-scale layoffs; at the same time, experts predict that all industries will face many challenges in 2023 , including supply chain issues and more intense competition for talent recruitment.
Although the economic outlook for 2023 does not look promising, as the saying goes, "crisis is a turning point." For example, the COVID-19 epidemic has greatly accelerated the digital transformation of brands and changed the way they operate in the past. Appier found that under the impact of the epidemic, brands are more actively adopting AI solutions, and we also expect that more brands will seek AI assistance during this period of uncertainty.
When general economic and other external market albania whatsapp number data 5 million conditions are adverse, brands need to turn to internal resources for solutions. Appier observed that AI is quickly becoming an indispensable part of enterprises to strengthen internal resources, because AI solutions have been proven to drive more growth, predictable investment returns, and at the same time save operating costs. As brands become more conservative in marketing spending, the above two key advantages will become AI's best selling points in both the short and long term.
Appier expects more brands to adopt AI solutions in the following three major areas.
1. Production efficiency: Use AI to get twice the result with half the effort
While brands are reducing marketing budgets and freezing personnel recruitment, AI has become an assistant for enterprises to get twice the result with half the effort. In terms of production efficiency, traditional marketing automation systems can save time in daily business processes and operations of brands. After AI empowers automated systems, marketers are more able to scale marketing activities and dynamically adjust corresponding actions based on real-time changes.
Since AI systems can continuously learn, they can provide brands with flexibility that traditional automated systems cannot create. For example, suppose an e-commerce company plans to try to automate shipping. At this time, it can achieve the goal with or without the use of AI. However, the advantage of using AI is that the machine learning model will take into account various variables that may affect shipments, such as supply conditions, weather and traffic conditions, etc., and make decisions based on the results of AI analysis that are most appropriate and optimal for the company and customers. Cost-effective decisions.
